Alternatives and similar repositories for DRAFT:

Users that are interested in DRAFT are comparing it to the libraries listed below

• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆34Updated 2 months ago
• DBrughmans / NICE
  ☆22Updated last year
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆22Updated this week
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆69Updated last week
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆20Updated last year
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆22Updated 2 months ago
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆22Updated last week
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆61Updated this week
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆53Updated last month
• harrisp / GPyConform
  ☆47Updated 2 months ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆43Updated 2 years ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆42Updated last week
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆119Updated last week
• vidalt / BA-Trees
  Born-Again Tree Ensembles: Transforms a random forest into a single, minimal-size, tree with exactly the same prediction function in the …
  ☆65Updated last year
• vincentblot28 / conformalized_gp
  ☆46Updated last month
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated 3 months ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆41Updated 2 years ago
• multi-objective / moocore
  Core Mathematical Functions for Multi-Objective Optimization
  ☆11Updated this week
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆67Updated 2 years ago
• MaxHalford / starboost
  Gradient boosting on steroids
  ☆27Updated 7 months ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆77Updated 11 months ago
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated 7 months ago
• Quantco / metalearners
  MetaLearners for CATE estimation
  ☆36Updated this week
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• aia-uclouvain / pydl8.5
  An algorithm for learning optimal decision trees, with Python interface
  ☆63Updated last year
• ran-xie / boosted-conformal
  ☆37Updated last month
• interpretml / slicer
  Unified slicing for all Python data structures.
  ☆35Updated this week
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 3 months ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆81Updated this week